DARPA taps RTX to advance kilometer-range X-ray vision
RTX BBN Technologies to develop long-range X-ray imaging algorithms to enable the identification of hard-to-access objects
Under the XENA program, BBN will create a system that uses advanced mathematical modeling and image analysis to enhance the visibility of objects, even with incomplete or messy data, without needing large amounts of training examples. The team will run simulations, build the software, and test it to show how well the system can uncover important details about objects.
"Long-range X-ray imaging requires a fundamentally different approach," said
Portable X-ray scanners require close range for clear images, as long-range use is hindered by weak signals, motion blur, and limited viewpoints, rendering traditional methods ineffective. BBN's approach will combine a handful of low-quality views, using shared patterns to reveal interior detail with far fewer photons. As a result, service members will have access to actionable information about concealed threats, potential weapons or structural vulnerabilities from ranges previously beyond reach.
The BBN-led team includes the
This research was, in part, funded by the
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